dblp: Neurocomputing, Volume 56

Ajith Abraham: Meta learning evolutionary artificial neural networks. 1-38

Enrico Capobianco: On support vector machines and sparse approximation for random processes. 39-60

S. Rajasekaran, R. Amal Raj: Image recognition using analog-ART1 architecture augmented with moment-based feature extractor. 61-77

Christian Ziegaus, Elmar Wolfgang Lang: A neural implementation of the JADE algorithm (nJADE) using higher-order neurons. 79-100

Ping Guo, Michael R. Lyu: A pseudoinverse learning algorithm for feedforward neural networks with stacked generalization applications to software reliability growth data. 101-121

Chen-Chia Chuang, Jin-Tsong Jeng, Pao-Tsun Lin: Annealing robust radial basis function networks for function approximation with outliers. 123-139

Bruno Gas, Jean-Luc Zarader, Cyril Chavy, Mohamed Chetouani: Discriminant neural predictive coding applied to phoneme recognition. 141-166

Machiel Westerdijk, Wim Wiegerinck: Improving classification with latent variable models by sequential constraint optimization. 167-185

Eric de Bodt, Marie Cottrell, Patrick Letrémy, Michel Verleysen: On the use of self-organizing maps to accelerate vector quantization. 187-203

Suraphan Thawornwong, David Enke: The adaptive selection of financial and economic variables for use with artificial neural networks. 205-232

Simone Fiori, Pietro Burrascano: One-unit 'rigid-bodies' learning rule for principal/independent component analysis with application to ECT-NDE signal processing. 233-255

Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez: Cooperative coevolution of generalized multi-layer perceptrons. 257-283

Orazio Giustolisi: Sparse solution in training artificial neural networks. 285-304

Yann Guermeur, Gianluca Pollastri, André Elisseeff, Dominique Zelus, Hélène Paugam-Moisy, Pierre Baldi: Combining protein secondary structure prediction models with ensemble methods of optimal complexity. 305-327

Fred Henrik Hamker: Predictions of a model of spatial attention using sum- and max-pooling functions. 329-343

Jani J. T. Lahnajärvi, Mikko Lehtokangas, Jukka Saarinen: Estimating movements of a robotic manipulator by hybrid constructive neural networks. 345-363

Willy Wriggers, Pablo Chacón, Julio A. Kovacs, Florence Tama, Stefan Birmanns: Topology representing neural networks reconcile biomolecular shape, structure, and dynamics. 365-379

Fabian J. Theis, Elmar Wolfgang Lang, Carlos García Puntonet: A geometric algorithm for overcomplete linear ICA. 381-398

Kay Chen Tan, H. J. Tang, Z. Yi: Global exponential stability of discrete-time neural networks for constrained quadratic optimization. 399-406

Tzu-Yu Liu, Jerome Yeh, Chien-Ming Chen, Yen-Tseng Hsu: A GreyART system for grey information processing. 407-414

Jian Yang, Alejandro F. Frangi, Jing-Yu Yang: A new kernel Fisher discriminant algorithm with application to face recognition. 415-421

Hugo Uchida Frausto, Jan G. Pieters: Modelling greenhouse temperature using system identification by means of neural networks. 423-428

Huafu Chen, Dezhong Yao: A composite ICA algorithm and the application in localization of brain activities. 429-434

Christian R. Huyck: Overlapping cell assemblies from correlators. 435-439

Xinshun Xu, Zheng Tang, Rong Long Wang, XuGang Wang: A new motion equation for the minimum vertex cover problem. 441-446

Pravin Chandra, Yogesh Singh: A case for the self-adaptation of activation functions in FFANNs. 447-454

XuGang Wang, Zheng Tang, Hiroki Tamura, Masahiro Ishii, W. D. Sun: An improved backpropagation algorithm to avoid the local minima problem. 455-460

Giorgio Valentini, Marco Muselli, Francesca Ruffino: Cancer recognition with bagged ensembles of support vector machines. 461-466

Zhenwei Shi, Huanwen Tang, Yiyuan Tang: A new fixed-point algorithm for independent component analysis. 467-473

Sang-Woo Ban, Minho Lee, Hyun Seung Yang: A face detection using biologically motivated bottom-up saliency map model and top-down perception model. 475-480

Jinwen Ma, Taijun Wang, Lei Xu: A gradient BYY harmony learning rule on Gaussian mixture with automated model selection. 481-487

Neurocomputing, Volume 56

Volume 56, January 2004